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Saragossa

Quant Developer - shape systematic trading

London
Posted about 16 hours ago
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About the Role

This quantitative trading firm is backed by experienced founders and strong capital, and they’re now expanding their platform to drive their ML strategies.

You'll work directly with researchers - building scalable Python tools to deploy models, working on portfolio optimisation, and driving monetisation across the stack.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

It’s a clean-slate environment: no legacy, no silos, and real ownership. If you’re someone who prefers to build the machine itself rather than be a part of it, you’ll have the chance to help define how research becomes alpha.

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Get help applying for this job

Want to be at the intersection between machine learning and systematic trading? Apply or reach out directly at megan@saragossa.io

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Skills

Python
Machine Learning
Portfolio Optimisation
Quantitative Trading
Model Deployment

Location

London, England, United Kingdom

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